For the past 20 years, researchers have investigated the use of eye tracking in security
applications. We present a holistic view on gaze-based security applications. In particular …

The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

We study involuntary micro-movements of both eyes, in addition to saccadic macro-
movements, as biometric characteristic. We develop a deep convolutional neural network …

We study involuntary micro-movements of the eye for biometric identification. While prior
studies extract lower-frequency macro-movements from the output of video-based eye …

Eye movement has become a new behavioral feature for biometric authentication. In the eye
movement-based authentication methods that use temporal features and artificial design …

This paper addresses the active and dynamic nature of biometrics, in general, and gaze
analysis, in particular, including motivation and background. The paper includes a critical …

This paper presents the first attempt to fuse two different kinds of behavioral biometrics:
mouse dynamics and eye movement biometrics. Mouse dynamics were collected without …

Eye movement biometrics have traditionally been tackled by using handcrafted features
which lead to complex computation and heavy reliance on experimental design. The authors …

Eye movement (EM) is a new highly secure biometric behavioral modality that has received
increasing attention in recent years. Although deep neural networks, such as convolutional …

The ability to use eye movement signals as a feature in biometric recognition is a novel
characteristic of biometric recognition technology. However, present technologies have not …